Mese: febbraio 2019

In general, R loads all data into memory while SAS allocates memory dynamically to keep data on disk. This makes SAS a better solution for handling very large datasets.

I often need to work with large SAS data files that are prepared in the information system of my department. However, I always try to fit everything to my R workflow. This is because I like to manipulate data with dplyr and perform statistical analysis with all the available packages in R.